Vertex AI Agent Builder enables the creation of AI agents grounded in enterprise data that can answer natural language queries.
What is Vertex AI Agent Builder?
Vertex AI Agent Builder is Google’s no-code platform for developing AI-powered agents and search applications. The service combines generative AI with enterprise search, enabling you to create chatbots and assistants based on internal company data.
The core value lies in grounding: instead of generic answers, Agent Builder applications deliver information directly from your documents, databases, or websites. This reduces hallucinations and makes answers traceable and citable.
Agent Builder integrates seamlessly with the Vertex AI ecosystem. You can use various foundation models (Gemini, PaLM), incorporate custom models, or combine with Dialogflow CX for complex conversation flows. Data connectivity is provided through Cloud Storage, BigQuery, or web crawling.
Common Use Cases
Customer Service Chatbots
A telecommunications company creates a support bot grounded in product documentation, FAQ databases, and troubleshooting guides. Customers receive precise answers with source citations instead of generic responses.
Enterprise Search
A consulting firm indexes 50,000 project reports, proposals, and best practices. Consultants find relevant past projects through natural language search: “Show me digitalization projects in the automotive sector with SAP integration”.
RAG Applications for Departments
A legal department creates an assistant grounded in internal contract templates, legal opinions, and compliance documents. Lawyers receive context-aware answers with references to relevant documents.
Intelligent Product Assistants
An e-commerce company develops a product advisor grounded in product catalogs, customer reviews, and comparison tests. Customers receive personalized recommendations based on their requirements.
Knowledge Management and Onboarding
HR creates an onboarding assistant that guides new employees through company policies, process documentation, and frequently asked questions. The agent learns from all intranet content.
Integration with innFactory
As a Google Cloud Partner, innFactory supports you in designing and implementing Agent Builder projects: from data preparation through prompt engineering to production deployment.
Contact us for an AI consultation.
Available Tiers & Options
Agent Builder
- No-code agent creation
- Grounding on your data
- Native Vertex AI integration
- Usage-based pricing
Dialogflow CX Integration
- Advanced conversation logic
- Multi-turn dialogs
- Omnichannel deployment
- More complex configuration
Typical Use Cases
Technical Specifications
Frequently Asked Questions
What is Vertex AI Agent Builder?
Vertex AI Agent Builder is Google's platform for creating AI agents grounded in enterprise data. Using RAG (Retrieval Augmented Generation), agents can answer questions based on internal documents, databases, or websites with citations.
What is the difference from Dialogflow?
Agent Builder uses generative AI and large language models for more natural conversations. Dialogflow CX provides rule-based flows for complex, structured dialogs. Both can be combined, with Agent Builder handling language understanding.
Which data sources does Agent Builder support?
Agent Builder supports Cloud Storage (PDFs, documents), BigQuery, website crawling, and structured data. Data is automatically indexed and used for grounding.
Is Agent Builder GDPR compliant?
Yes, Agent Builder is available in EU regions (europe-west1, europe-west4). Data remains in the chosen region. Google Cloud provides Data Processing Agreements and all required compliance certifications.
How does Agent Builder differ from custom LLM development?
Agent Builder offers a no-code interface for rapid prototyping and deployment. For full control over prompts, model selection, and inference pipeline, custom development with Vertex AI is the better choice.
